Instructions to use parsawar/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parsawar/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="parsawar/my_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("parsawar/my_model") model = AutoModelForSequenceClassification.from_pretrained("parsawar/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84b77747ef974d3f68167855f89f8e3f3d5beebd39e8dad7db57e70922f18c8a
- Size of remote file:
- 5.05 kB
- SHA256:
- 2782280f41dcd401f0d70e77c0a11cc2c8b34fc52ac1d21e1c5c4d2833df29c4
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